Phemex Prime: Institutional Spotlights is a collaborative thought-leadership series co-produced with industry pioneers and institutional executives, delivering strategic insights that cut through market noise.
A Bitcoin chart can look perfectly healthy right up until it doesn’t. For Jérôme Jutzeler, that is the problem with treating price as the beginning and end of market analysis.
Jutzeler, known as Jay, is a Swiss Crypto Finance Expert (CCFE) and the founder of JayWave. Before considering a major Bitcoin position, he looks beyond crypto: at the yen, US Treasury yields, oil, the dollar and global liquidity. Only then does he turn to funding, leverage, spot demand and technical levels.
His approach to transparency is similarly unsentimental. Rather than sharing selected screenshots of winning trades, he built a live dashboard designed to show open positions, performance and drawdowns. A profitable trade may attract attention; what happens when a trade goes wrong tells a more useful story.
In this conversation, Jay explains why five positions can amount to one bet, why averaging down needs a stopping point, and why finding the perfect entry matters less than knowing exactly how much you can afford to be wrong.
The conversation in three ideas
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The chart may be the last place risk becomes visible. Macro conditions and leverage can change before price breaks.
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A win rate is not a risk report. Exposure, drawdowns and the losses behind a result matter.
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A position needs an ending before it has a beginning. Size, additions and invalidation should be defined before the first order.
“Anyone can post a profitable trade.”
Phemex Prime: You built a live dashboard (dashboard.jaywave.ch)that displays positions and drawdowns, rather than posting selected trade results. What drove that decision?
Jérôme Jutzeler: Anyone can post a screenshot of a profitable trade. But a screenshot tells you almost nothing about the quality of a trader. You do not see the size of the account, the leverage used, the losses that came before it, or the actual risk that was taken.
If I speak publicly about trading, risk management and professional capital allocation, I believe I should be willing to hold myself to the same standard. That is why we built our live trading dashboard.
We do not just show winning trades. Our open positions, unrealized P&L, realized performance, drawdowns and historical win rate are publicly visible. And this is not a snapshot. We can now show a publicly trackable record of more than twelve months, with a win rate above 98%.
What makes this meaningful to me is not the win rate alone. A high win rate by itself does not make someone a good trader. What matters is that people can verify the data themselves and observe the performance over time.
“In an industry full of P&L screenshots, we decided not to sell claims. We publish the data.”
The dashboard also shows when positions are in drawdown. That is just as important. Trust is not created by pretending you never lose. It is created when people can see how you manage risk when you are wrong.
For me, trading is less about prediction and more about engineering: how do you build a system that still works even when your next market view is wrong? Particularly in the DACH region, investors tend to be skeptical of big promises—and I think they should be. Verifiable transparency is a stronger long-term asset than marketing.
What if the chart is the end of the story?
Phemex Prime: Your framework looks at the yen carry trade, US Treasury yields and oil alongside Bitcoin. What can those markets tell you before a crypto chart breaks?
Jutzeler: I do not look at Bitcoin or the crypto market in isolation. In my view, that is one of the biggest mistakes traders can make today.
Bitcoin trades 24 hours a day, but the capital moving it does not exist in a vacuum. That capital reacts to US yields, the dollar, the yen, oil prices, volatility, credit conditions and liquidity across the global financial system.
Take the yen carry trade. If capital that has been cheaply funded in yen suddenly has to be unwound, you can get a rapid deleveraging process. Investors reduce risk, margins tighten, positions are cut and liquid assets are sold. Crypto is particularly interesting in that environment because it trades around the clock. During periods of stress, it can become one of the first markets through which risk is reduced.
The same logic applies to US Treasuries. When real yields and long-end yields rise, the opportunity cost of holding risk assets increases and financial conditions tighten. Oil connects geopolitics, inflation and monetary policy. If oil rises sharply, it can change the inflation path and make it harder for the Federal Reserve to ease policy as quickly as markets expect.
Before a major Bitcoin trade, I do not start by asking what the RSI is doing. I start by asking: what is global liquidity doing?
I monitor the yen, the US dollar, the Treasury curve, real yields, oil and volatility. Then I move into the internal structure of crypto: open interest, funding, basis, spot flows and liquidation behavior.
It becomes especially interesting when those markets begin telling different stories. Bitcoin may look technically stable while leverage builds, funding becomes more aggressive, spot demand weakens and the macro liquidity backdrop deteriorates. The chart can still look healthy while risk accumulates underneath.
“The chart is often not the beginning of the story. It is the end of the transmission chain.”
My goal is to understand that chain early enough to adjust risk before the obvious break appears on the screen.
The problem with a “perfect” indicator
Phemex Prime: If macro comes first, what role do your technical indicators play?
Jutzeler: My methodology is based on multi-layer technical confluence combined with macroeconomic and geopolitical context.
I use short-term and long-term MACD, as well as RSI, with my own settings. I do not rely on the standard configurations simply because they are the defaults. An indicator is only as useful as the framework in which it is interpreted.
I also developed the JayWave Ribbon MA to understand trend structure across different time horizons. Within that framework, the relationship and cross between the 200 and 300 moving averages are particularly important to me because they can reveal major structural changes. I combine that with my JayWave Fibonacci technique.
Fibonacci, for me, is not simply drawing a retracement and assuming every standard level will act as support or resistance. It is part of a broader framework for identifying areas where price, trend, momentum and risk-reward begin to converge.
The key word is confluence. I do not want to make a major decision because one MACD crosses, RSI reaches a level, or price touches a Fibonacci line. I want multiple independent components of the analysis to tell me the same story.
Then I add the macro layer. What is happening with global liquidity, Treasury yields, the dollar, oil, central banks, geopolitics and risk appetite? Even a strong technical setup can fail if the macro environment suddenly changes.
My process works from the top down: geopolitics → macro environment → market structure → JayWave indicators → Fibonacci zones → position construction.
Technical analysis helps define the zones. The macro environment helps determine how much conviction I am willing to assign to them. Technical indicators are not prediction tools; they are decision-making tools inside a larger risk framework.
Five positions. One bet?
Phemex Prime: At JayWave Academy, you emphasize structured investing instead of gambling. Which psychological mistake most often undermines that discipline?
Jutzeler: The most destructive bias, in my view, is not fear. It is ego—more precisely, the need to be right.
Once a trader becomes emotionally attached to proving an analysis correct, the rules begin to change. Stops are moved. Losing positions are increased. The trader waits for break-even. Then revenge trading can start.
An analytical mistake becomes a risk-management mistake. Analytical mistakes are part of trading. Risk-management mistakes should not be.
Professional trading starts with an uncomfortable question: how much money do I lose if I am completely wrong? Not: how much could I make?
I think in risk units—in R. For many professional setups, a risk range of roughly 0.5% to 1% of account equity per trade can be more sensible than the extreme exposures often seen in retail trading. But no magic percentage fits every portfolio.
Correlation may be even more important. If I have five positions open and all five depend on the same Bitcoin risk-on scenario, I do not really have five independent trades. I may have the same trade five times.
That is why you need portfolio-level risk limits, drawdown thresholds and kill switches. If a predefined drawdown is reached, I reduce risk. I do not increase it in an attempt to win the money back quickly.
Systematic tools make that discipline easier to maintain. Position size should be calculated from entry, invalidation and maximum risk. Portfolio exposure should be visible in real time. Drawdown limits should be predefined, and every trade should be documented.
“Professional traders do not have superhuman willpower. They build systems that protect them from making emotional decisions.”
When is averaging down a plan—and when is it denial?
Phemex Prime: You build positions gradually. What separates that approach from adding to a losing trade and hoping it recovers?
Jutzeler: The difference is whether the structure was defined before the position became emotionally relevant.
One of the core principles behind my methodology is what I call the Fan Strategy, combined with the Christmas Tree Principle. Instead of entering a full position at one price, I build it gradually. The first orders are intentionally small. If the market moves deeper into my predefined accumulation area, individual orders become progressively larger.
But this is not blind averaging down. Every accumulation zone needs support from geopolitics, macro conditions, liquidity and the technical framework we developed at JayWave. I want several layers of evidence pointing in the same direction before increasing exposure.
When uncertainty is high, capital commitment remains small. As the market approaches levels where I see a stronger asymmetry between risk and potential return, the planned position size increases. I consider that a more precise form of DCA.
Only once the predefined DCA structure has been completed do I define what I call the Rebuy Zone. This is a separate area where additional exposure may be added if the broader investment thesis remains intact. Underneath that entire structure sits the stop-loss or final invalidation level.
The sequence is clear: entry structure → progressive DCA → completed accumulation → Rebuy Zone → final invalidation. Nothing is improvised after the trade has started.
That is the difference between professional risk management and emotional averaging down. Without an invalidation point, “building a position” can become a way to avoid admitting that the original thesis has failed.
If I had one piece of advice for someone moving toward institutional-level trading, it would be: “Stop searching for the perfect entry. Build the perfect risk structure.”
Professional trading is not about predicting the exact bottom. It is about constructing a position so you can survive being early, take advantage of better prices and still know exactly where your thesis becomes invalid.
Why would a risk-conscious trader use derivatives?
Phemex Prime: Derivatives are often associated with taking more leverage. What role can they play in professional risk management?
Jutzeler: Professional traders do not use derivatives only to maximize leverage. A portfolio can be long Bitcoin in spot while hedging part of its delta through futures. It can run basis trades, arbitrage strategies, market-neutral structures or tactical hedges.
“Derivatives are not primarily a casino for professionals. They are risk infrastructure.”
That is why traders need more than a buy and sell button. They need liquidity, reliable APIs, strong execution, stable matching engines, advanced order types and the ability to hedge efficiently. Robust trading venues continue to matter, including platforms such as Phemex where their services are available and permitted under the applicable regulatory framework.
It is also important not to mix different regulatory questions. MiCA primarily addresses crypto-assets and services that are not already regulated as financial instruments, while many derivatives fall within existing financial-markets frameworks. Switzerland must be considered separately because it is not an EU member state.
The broader trend is toward more formalized access to crypto. Institutional capital needs legal certainty, custody, compliance standards and governance. At the same time, rules can affect which products are available to different client groups.
I expect more institutional spot, custody and execution activity to move into regulated European structures, while sophisticated hedging will continue to require instruments beyond spot exposure. Capital does not simply disappear; it moves toward structures in which it can operate legally, safely and professionally.
Will finance look different in ten years?
Phemex Prime: Will crypto converge with traditional finance—or replace it?
Jutzeler: I do not think the answer is either-or. Crypto will increasingly converge with traditional finance while fundamentally changing parts of it.
At the institutional level, we will see more familiar elements: regulated custody, reporting, compliance, risk models, prime brokerage, credit structures and derivatives markets. Those structures are necessary for large pools of institutional capital to interact with crypto.
Underneath that layer, something more radical is happening. Traditional financial markets were built for a world of bank business hours, multiple intermediaries and settlement that could take days. Blockchain-based markets can be global, programmable and potentially available around the clock.
Stablecoins already demonstrate how efficiently value can move globally. Tokenization can extend that logic to securities, fund units and other financial assets. Banks, exchanges and asset managers will not necessarily disappear; many will integrate the technology.
“The front end of finance may still look familiar in ten years. But the back end will work very differently.”
For traders, though, the immediate lesson is less futuristic. Markets, infrastructure and rules will keep changing. A process that depends on always being right is fragile. A process that defines its risks before taking them has a better chance of adapting.
Editor’s note: The dashboard history and win-rate figures above are claims made by Jutzeler and should be checked against the live dashboard before publication. Win rate alone does not establish profitability or risk-adjusted performance. This interview is for informational purposes only and is not financial, investment or legal advice.
